A selection of projects with focus on measurable outcomes, technical rigor, and real-world utility.
Built a two-part ML pipeline for Paris light commercial vehicle analysis: (1) stop-location prediction and (2) stop-duration prediction.
Built daily analytics pipelines for an RCT using public transport e-ticketing API data and geospatial analysis for field and evaluation design.
Built and scaled a global mobility measurement pipeline on over 120TB of geospatial ping data to estimate daily travel distances across more than 150 countries.
Built a full video-to-metrics pipeline for road safety impact evaluation, from object detection/tracking in intersection footage to conflict/traffic analytics and reporting.
Used ML and statistical analysis to identify drivers of credit access and predict potential MSME borrowers.
Rewrote and refined internal cost-prediction models to improve robustness, interpretability, and business alignment.